Schema | Tubask

Tubask

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
youtube_queryA	Query YouTube: search videos/channels/playlists, channel profiles, latest uploads, playlist items, video comments, topic research with stats, or multi-video creator advice. Returns JSON including intent, result items, optional advice{} for goal=advice, next_steps[], and quota_cost. Single-video summaries and verbatim caption lookup use summarize_video and get_transcript.
summarize_videoA	Summarize one YouTube video from captions and metadata. Returns JSON with summary, key_points[], chapters[], quotes[] (timestamped), coverage{} (transcript sampling), and next_steps[]. Requires captions (auto-generated counts). Multi-video creator synthesis uses youtube_query with goal=advice.
get_transcriptA	Fetch YouTube captions for one video: full text, keyword search, time range, or paginated segments. Returns JSON with segments[] (display_timestamp, end_seconds), match_count when searching, language metadata, and next_steps[]. Structured overview of a video uses summarize_video.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Amorizz/tubask-mcp'

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